Double and Multiple Sampling Plan

Slides:



Advertisements
Similar presentations
Ch 12- Control Charts for Attributes
Advertisements

Introduction to Statistical Quality Control, 4th Edition Chapter 14 Lot-by-Lot Acceptance Sampling for Attributes.
Ch © 2000 by Prentice-Hall Inc Russell/Taylor Oper Mgt 3/e Example R-Chart.
Lecture 26 Quality inspection systems. Quality Inspection Systems  There are four systems which are used in industry – 4-point system – 10 point system.
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Chapter 9 Hypothesis Testing Developing Null and Alternative Hypotheses Developing Null and.
Jimmy K.C. Lam The Hong Kong Polytechnic University
Counting Techniques: Combinations
Acceptance Sampling for Attributes Statistical Quality Control
Quality Control Chapter 9- Lot-by-Lot Acceptance Sampling
Section 7 Acceptance Sampling
Acceptance Sampling Plans by Variables
Acceptance Sampling Acceptance sampling is a method used to accept or reject product based on a random sample of the product. The purpose of acceptance.
G – 1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall. Acceptance Sampling Plans G For Operations Management, 9e by Krajewski/Ritzman/Malhotra.
BPT2423 – STATISTICAL PROCESS CONTROL
Acceptance Sampling Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill.
15 Lot-by-Lot Acceptance Sampling for Attributes Chapter 15
OC curve for the single sampling plan N = 3000, n=89, c= 2
J0444 OPERATION MANAGEMENT SPC Pert 11 Universitas Bina Nusantara.
LESSON 22: MATERIAL REQUIREMENTS PLANNING: LOT SIZING
1 © The McGraw-Hill Companies, Inc., 2004 Technical Note 7 Process Capability and Statistical Quality Control.
Previous Lecture: Analysis of Variance
Acceptance Sampling Lot-by-lot Acceptance Sampling by AttributesLot-by-lot Acceptance Sampling by Attributes Acceptance Sampling SystemsAcceptance Sampling.
09/16/04SJSU Bus David Bentley1 Chapter 10S – Acceptance Sampling Definition, purpose, sampling plans, operating characteristic curve, AQL, LTPD,
Introduction to Simulated Annealing 22c:145 Simulated Annealing  Motivated by the physical annealing process  Material is heated and slowly cooled.
An AQL System For Lot-By-Lot Acceptance Sampling By Attributes
1 SMU EMIS 7364 NTU TO-570-N Sequential Sampling Plans Updated: Statistical Quality Control Dr. Jerrell T. Stracener, SAE Fellow.
1 TRAINING SESSION ACCEPTANCE SAMPLING CONFIDENCE INTERVALS.
Review of normal distribution. Exercise Solution.
The Chi-square Statistic. Goodness of fit 0 This test is used to decide whether there is any difference between the observed (experimental) value and.
Copyright © 2012 by Nelson Education Limited. Chapter 8 Hypothesis Testing II: The Two-Sample Case 8-1.
1 © The McGraw-Hill Companies, Inc., 2006 McGraw-Hill/Irwin Technical Note 8 Process Capability and Statistical Quality Control.
Steps in Using the and R Chart
9/17/2015IENG 486 Statistical Quality & Process Control 1 IENG Lecture 18 Introduction to Acceptance Sampling, Mil Std 105E.
Average Outgoing Quality
Operating Characteristic Curve
Statistical Process Control
Acceptance Sampling McGraw-Hill/Irwin Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved.
2-1 Sample Spaces and Events Random Experiments Figure 2-1 Continuous iteration between model and physical system.
Business Statistics: A First Course, 5e © 2009 Prentice-Hall, Inc. Chap 11-1 Chapter 11 Chi-Square Tests Business Statistics: A First Course Fifth Edition.
© 2007 Pearson Education   AQL LTPD Acceptance Sampling Plans Supplement I.
Acceptance Sampling Outline Sampling Some sampling plans
Copyright © Cengage Learning. All rights reserved. Elementary Probability Theory 4.
1 © The McGraw-Hill Companies, Inc., Technical Note 7 Process Capability and Statistical Quality Control.
© 2007 Pearson Education   AQL LTPD Acceptance Sampling Plans Supplement I.
1 SMU EMIS 7364 NTU TO-570-N Acceptance Sampling Basic Concepts and Mathematical Basis Updated: Statistical Quality Control Dr. Jerrell T. Stracener,
Acceptance Sampling Terminology
Acceptance Sampling Systems For Continuous Production and Variables
STATISTICAL QUALITY CONTROL (S.Q.C.) PRESENTED BY-: NIKHIL GARG ROLL NO
Process Capability and Statistical Quality Control.
Chapter 9, Part E. VII. Calculating the Probability of Type II Errors A common decision in business is whether to accept a shipment or not, based upon.
Lot-by-Lot Acceptance Sampling for Attributes
OUTLINE Definition Brainstorming Exercise Nuts and Bolts How it Works
4 Elementary Probability Theory
Chapter 11 Chi-Square Tests.
McGraw-Hill/Irwin ©2009 The McGraw-Hill Companies, All Rights Reserved
Acceptance Sampling İST 252 EMRE KAÇMAZ B4 /
4 Elementary Probability Theory
Statistical Analysis of Data
Acceptance sampling Process of evaluating a portion of the product/material in a lot for the purpose of accepting or rejecting the lot as either conforming.
LESSON 20: HYPOTHESIS TESTING
The Certified Quality Process Handbook Chapter 18: Sampling
Chapter 11 Chi-Square Tests.
Acceptance Sampling Outline Sampling Some sampling plans
Double and Multiple Sampling Plan
Steps in Using the and R Chart
5 Elementary Probability Theory
Acceptance Sampling Plans
Chapter 11 Chi-Square Tests.
Multiplication and Division
Presentation transcript:

Double and Multiple Sampling Plan Outline Double Sampling Plan Multiple Sampling Plan

Double Sampling Plan A double sampling plan is more difficult to construct and more difficult to implement than a single sampling plan. However, it has the following advantages: A double sampling plan may give similar levels of the consumer’s and the producer’s risk but require less sampling in the long run than a single sampling plan

Double Sampling Plan Example A double sampling plan is associated with four numbers: The interpretation of the numbers is shown by an example: 1. Inspect a sample of size 20 2. If the sample contains 3 or less defectives, accept the lot 3. If the sample contains more than 5 defectives, reject the lot.

Double Sampling Plan Example 4. If the sample contains more than 3 and less than or equal to 5 defectives (i.e., 4 or 5 defectives), then inspect a second sample of size 10 5. If the cumulative number of defectives in the combined sample of 30 is not more than 5, then accept the lot. 6. Reject the lot if there are more than 5 defectives in the combined lot of 30

Double Sampling Plan Finding Probability of Acceptance Example: Assume that a lot contains 2% defectives. If the double sampling plan with is used, what is the probability that the lot will be accepted? Assume that the lot size is large enough for Table G to be applicable. Solution: The solution to the above problem takes a tree structure that is shown next. Computing probabilities at all the branches and nodes, the probability of acceptance is:

Multiple Sampling Plan Finding Probability of Acceptance Double sampling plans may be extended to triple sampling plans, which may also be extended to higher order plans. The logical conclusion of this process is the multiple or sequential sampling plan. Multiple sampling and sequential sampling are very similar. Usually, in a multiple sampling plan the decisions (regarding accept/reject/continue) are made after each lot is sampled. On the other hand, in a sequential sampling plan, the decisions are made after each item is sampled. In a multiple sampling 3 or more samples are taken. A sequential sampling may not have any limit on the number of items inspected.

Text Problem 11.6 (modified): A multiple sampling plan is as follows: Sample Individual Combined Acceptance Rejection Number Sample Size Sample Size Number Number 1 5 5 -- 2 2 5 10 0 2 3 5 15 1 3 4 5 20 2 3 Assuming that lot size is large enough for Table G to be applicable, compute the probability of acceptance of a 10% defective lot.